README.md

metadata

language:
  - en
  - ar
  - bg
  - de
  - el
  - fr
  - hi
  - ru
  - es
  - sw
  - th
  - tr
  - ur
  - vi
  - zh
tags:
  - generated_from_trainer
datasets:
  - xnli
metrics:
  - accuracy
model-index:
  - name: pixel-base-finetuned-xnli-translate-train-all
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: XNLI
          type: xnli
          args: xnli
        metrics:
          - name: Joint validation accuracy
            type: accuracy
            value: 0.6254886211512718

pixel-base-finetuned-xnli-translate-train-all

This model is a fine-tuned version of Team-PIXEL/pixel-base on the XNLI dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 256
• eval_batch_size: 8
• seed: 555
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• training_steps: 50000
• mixed_precision_training: Apex, opt level O1

Framework versions

• Transformers 4.17.0
• Pytorch 1.11.0
• Datasets 2.0.0
• Tokenizers 0.12.1